So, I am working on a project for my business stats class. I have to use minitab for the project. My project is based around basic regressions. I have found an acceptable regression equation:
regress c1 5 c3-c5 c19 c61.
For the next part of the project, I need to find the value for c1. I have all other data, and do not know how to use what I found before to get c1. Here is the report I got for the equation above. If anyone can help, please do! I am a loss.
Regression Analysis: CHEMP versus TAX, UNEMP, POP05, COLL, DEPLIB
The regression equation is
CHEMP = 3.28 - 0.000606 TAX - 0.775 UNEMP + 0.000004 POP05 + 0.279 COLL
+ 0.000030 DEPLIB
Predictor Coef SE Coef T P
Constant 3.282 1.641 2.00 0.051
TAX -0.0006064 0.0001199 -5.06 0.000
UNEMP -0.7754 0.1108 -7.00 0.000
POP05 0.00000364 0.00000074 4.90 0.000
COLL 0.27944 0.05347 5.23 0.000
DEPLIB 0.00003022 0.00002659 1.14 0.261
S = 1.20634 R-Sq = 90.5% R-Sq(adj) = 89.6%
Analysis of Variance
Source DF SS MS F P
Regression 5 750.07 150.01 103.08 0.000
Residual Error 54 78.58 1.46
Total 59 828.65
Source DF Seq SS
TAX 1 74.90
UNEMP 1 556.66
POP05 1 65.54
COLL 1 51.09
DEPLIB 1 1.88
Unusual Observations
Obs TAX CHEMP Fit SE Fit Residual St Resid
31 4895 11.200 8.585 0.312 2.615 2.24R
47 11673 10.700 11.075 0.947 -0.375 -0.50 X
48 13817 8.800 7.510 0.807 1.290 1.44 X
R denotes an observation with a large standardized residual.
X denotes an observation whose X value gives it large leverage.
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I know... it is confusing as heck, haha.
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Good lord how can that ever be used in business? I thought the general rule of business was lie, cheat, steal, and repeat. :D
anlgp and dolfan32323 like this. -
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dolfan32323 likes this.
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take sicks post for example that's how i felt.
i could be wrong obviously. -